Artificial Intelligence | AI on Instagram: "Gradient descent is an iterative optimization technique used to train machine learning models by finding the set of parameters (like weights in a neural network) that make the loss function as small as possible. Given a simple surface, we calculate the gradient, which is the collection of partial derivatives of the loss with respect to x and y. A partial derivative tells us how the loss changes if we tweak just one parameter while holding the others co

Operant conditioning: Schedules of reinforcement

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Schedules of Reinforcement in Psychology (Examples)